├── .gitignore ├── 2d_mix ├── .gitignore ├── __init__.py ├── clusterer_gradient_visualization.py ├── config.py ├── evaluation.py ├── inputs.py ├── models │ ├── __init__.py │ └── cluster.py ├── run.sh ├── train.py └── visualizations.py ├── LICENSE ├── README.md ├── cluster_metrics.py ├── clusterers ├── __init__.py ├── base_clusterer.py ├── kmeans.py ├── random_labels.py ├── scan_selflabel_guide.py ├── single_label.py └── toy_guide_clusterer.py ├── configs ├── cifar │ ├── conditional.yaml │ ├── default.yaml │ ├── scan_guide_biggan.yaml │ └── unconditional.yaml ├── default.yaml ├── pretrained │ └── cifar │ │ ├── conditional.yaml │ │ └── selfcondgan.yaml ├── stacked_mnist │ ├── conditional.yaml │ ├── default.yaml │ ├── scan_guide73_biggan_single.yaml │ ├── scan_guide97_biggan_D4.yaml │ ├── scan_guide98_biggan_D4.yaml │ ├── selfcondgan.yaml │ └── unconditional.yaml └── stl10 │ ├── default.yaml │ ├── scan_guide101_biggan_D4.yaml │ ├── scan_guide102_biggan_D4.yaml │ ├── scan_guide65_biggan.yaml │ ├── scan_guide66_biggan.yaml │ ├── scan_guide67_biggan.yaml │ ├── scan_guide68_biggan.yaml │ ├── scan_guide69_biggan.yaml │ ├── scan_guide70_biggan.yaml │ ├── scan_guide71_biggan_single.yaml │ └── scan_guide72_dcgan.yaml ├── gan_training ├── __init__.py ├── checkpoints.py ├── config.py ├── distributions.py ├── eval.py ├── inputs.py ├── logger.py ├── metrics │ ├── __init__.py │ ├── clustering_metrics.py │ ├── fid.py │ ├── inception_score.py │ └── tf_is │ │ ├── LICENSE │ │ ├── README.md │ │ └── inception_score.py ├── models │ ├── __init__.py │ ├── biggan.py │ ├── blocks.py │ ├── dcgan_deep.py │ ├── dcgan_shallow.py │ ├── resnet2.py │ ├── resnet2s.py │ └── resnet3.py ├── train.py └── utils.py ├── guide_utils ├── __init__.py ├── load_model.py ├── models.py ├── resnet.py ├── resnet_cifar.py └── resnet_cifar_leaky_relu.py ├── images └── teaser.jpg ├── layers.py ├── metrics.py ├── models ├── invertible_resnet │ ├── .gitignore │ ├── CIFAR_main.py │ ├── LICENSE │ ├── README.md │ ├── __init__.py │ ├── imgs │ │ ├── data.jpg │ │ ├── recons.jpg │ │ └── samples.jpg │ ├── matrix_utils.py │ ├── models │ │ ├── __init__.py │ │ ├── conv_iResNet.py │ │ ├── density_modeling_utils.py │ │ ├── model_utils.py │ │ ├── toy_data.py │ │ ├── utils.py │ │ ├── utils_cifar.py │ │ └── viz_utils.py │ ├── requirements.txt │ ├── scripts │ │ ├── classify_cifar.sh │ │ └── dens_est_cifar.sh │ ├── spectral_norm_conv_inplace.py │ └── spectral_norm_fc.py └── models.py ├── print_logs.py ├── requirements.txt ├── seeded_sampler.py ├── seeing ├── frechet_distance.py ├── fsd.py ├── lightbox.html ├── parallelfolder.py ├── pbar.py ├── pidfile.py ├── sampler.py ├── segmenter.py ├── upsegmodel │ ├── __init__.py │ ├── models.py │ ├── prroi_pool │ │ ├── .gitignore │ │ ├── README.md │ │ ├── __init__.py │ │ ├── build.py │ │ ├── functional.py │ │ ├── prroi_pool.py │ │ ├── src │ │ │ ├── prroi_pooling_gpu.c │ │ │ ├── prroi_pooling_gpu.h │ │ │ ├── prroi_pooling_gpu_impl.cu │ │ │ └── prroi_pooling_gpu_impl.cuh │ │ └── test_prroi_pooling2d.py │ ├── resnet.py │ └── resnext.py ├── yz_dataset.py └── zdataset.py ├── sync_batchnorm ├── __init__.py ├── batchnorm.py ├── batchnorm_reimpl.py ├── comm.py ├── replicate.py └── unittest.py ├── train.py ├── utils ├── classifiers │ ├── __init__.py │ ├── cifar.py │ ├── imagenet.py │ ├── imagenet_class_index.json │ ├── places.py │ ├── pytorch_playground │ │ ├── .gitignore │ │ ├── LICENSE │ │ ├── README.md │ │ ├── cifar │ │ │ ├── __init__.py │ │ │ ├── dataset.py │ │ │ ├── model.py │ │ │ └── train.py │ │ ├── quantize.py │ │ ├── requirements.txt │ │ ├── roadmap_zh.md │ │ ├── setup.py │ │ └── utee │ │ │ ├── __init__.py │ │ │ ├── misc.py │ │ │ ├── quant.py │ │ │ └── selector.py │ └── stacked_mnist.py ├── get_empirical_distribution.py ├── get_gt_imgs.py └── np_to_pt_img.py └── visualize_clusters.py /.gitignore: -------------------------------------------------------------------------------- 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